计算机科学 ›› 2012, Vol. 39 ›› Issue (7): 222-224.
• 人工智能 • 上一篇 下一篇
张瑞,王文剑,张亚丹,孙芳玲
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摘要: 基于勒让德正交多项式,提出了一类新的核函数—勒让德核函数。在双螺旋集和标准UCI数据集上的实验表明,在鲁棒性与泛化性能方面,该核函数比常用的核函数(多项式核、高斯径向基核等)具有更好的表现,而且其参数仅在自然数中取值,能大大缩短参数优化时间。
关键词: 支持向量机,核函数,模型选择
Abstract: This paper presented a new set of kernel function-Legendre kernel function based on Legendre polynomial.The performance and robustness of the presented kernel were investigated on bi-spiral benchmark data set as well as five data sets from the UCI benchmark repository. I}he experiment results demonstrate that the presented kernel has competitive robust and generalization performance compared with commonly used kernel functions (polynomial kernel and Radial Basis Function ctc.).Moreover, the I_egendre kernel has one parameter which is only chosen from natural number, thus parameter optimization is facilitated greatly.
Key words: Support vector machine, Kernel function, Model selection
张瑞,王文剑,张亚丹,孙芳玲. 基于支持向量机分类问题的勒让德核函数[J]. 计算机科学, 2012, 39(7): 222-224. https://doi.org/
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